Natural Algorithms/Careers

Build the research machine, not just the strategies

We are hiring engineers in Herzliya. The work is hypothesis generation, large-scale experimentation, strategy validation, and the systems that deploy capital. Two open positions.

Open roles → About the company →
The Company

What you would be joining

A systematic investment firm incorporated in Israel.
Research infrastructure designed, built, and operated in-house.
Founder-funded to date.
One infrastructure, designed to operate from $1M to $1B+.
Open Roles

Two open positions

Both roles are hands-on from day one, with direct ownership of systems that reach production. There is very little distance between what you build and what trades.

Senior AI / ML Engineer

Engineering Herzliya, Israel

You own the machinery that turns raw market data into tested investment hypotheses — research agents, ML pipelines, feature engineering, and the experimentation infrastructure that decides what survives.

What you would work on

  • Research agents that generate and screen investment hypotheses
  • ML pipelines running from raw market data through to model outputs
  • Feature engineering across price, volume, and derived market data
  • Experimentation infrastructure: large-scale, reproducible, measurable
  • Signal research and risk overlays feeding live strategies

What the role needs

  • Senior-level ML engineering in production systems, not notebooks
  • Strong Python; comfort reading and writing systems code
  • Experience with noisy, low signal-to-noise data
  • Rigour about validation, leakage, and overfitting
  • Independent technical judgment on open-ended problems
Apply for this role →

Senior Systems Engineer

Engineering Herzliya, Israel

You own the infrastructure everything else runs on — market data, distributed compute, the backtesting engine, and the execution path that puts capital into the market.

What you would work on

  • Backtesting and forward-testing engines
  • Market data capture, normalisation, and storage
  • Distributed compute for large-scale research workloads
  • Execution infrastructure and order routing
  • The reliability and correctness of the whole research path

What the role needs

  • Senior-level C++ and Python
  • Distributed systems built and operated in production
  • High-throughput, latency-sensitive data paths
  • Correctness prioritised over speed of delivery
  • Ownership of systems end to end, not isolated tasks
Apply for this role →
Who We’re Looking For

What the work requires

Comfort with problems that have no known answer.
Independent technical judgment.
Ownership of systems rather than isolated tasks.
Appetite for building systems from scratch rather than inheriting them.
Rigour over speed. Correctness is the constraint that matters.